Podknife - Why Multi-Modality is the Future of Machine Learning w/ Letitia Parcalabescu (University of Heidelberg, AI Coffee Break) by Machine Learning Engineered

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Why Multi-Modality is the Future of Machine Learning w/ Letitia Parcalabescu (University of Heidelberg, AI Coffee Break)

Podcast |: Machine Learning Engineered
Publisher |: Charlie You
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Careers,; Data Science,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Business,; Careers,; Science,; Technology
Publication Date |: Nov 10, 2020
Episode Duration |: 01:31:48

Letitia Parcalabescu is a PhD candidate at the University of Heidelberg focused on multi-modal machine learning, specifically with vision and language.

Learn more about Letitia:

heidelberg.de/~parcalabescu/">https://www.cl.uni-heidelberg.de/~parcalabescu/

https://www.youtube.com/channel/UCobqgqE4i5Kf7wrxRxhToQA

Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter

Follow Charlie on Twitter: https://twitter.com/CharlieYouAI

Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/

Subscribe to ML Engineered: https://mlengineered.com/listen

Comments? Questions? Submit them here: http://bitly.com/mle-survey

Timestamps:

01:30 Follow Charlie on Twitter (https://twitter.com/CharlieYouAI)

02:40 Letitia Parcalabescu

03:55 How she got started in CS and ML

07:20 What is multi-modal machine learning? (https://www.youtube.com/playlist?list=PLpZBeKTZRGPNKxoNaeMD9GViU_aH_HJab)

16:55 Most exciting use-cases for ML

20:45 The 5 stages of machine understanding (https://www.youtube.com/watch?v=-niprVHNrgI)

23:15 The future of multi-modal ML (GPT-50?)

27:00 The importance of communicating AI breakthroughs to the general public

37:40 Positive applications of the future “GPT-50”

43:35 Letitia’s CVPR paper on phrase grounding (https://openaccess.thecvf.com/content_CVPRW_2020/papers/w56/Parcalabescu_Exploring_Phrase_Grounding_Without_Training_Contextualisation_and_Extension_to_Text-Based_CVPRW_2020_paper.pdf)

53:15 ViLBERT: is attention all you need in multi-modal ML? (https://arxiv.org/abs/1908.02265)

57:00 Preventing “modality dominance”

01:03:25 How she keeps up in such a fast-moving field

01:10:50 Why she started her AI Coffee Break YouTube Channel (https://www.youtube.com/c/AICoffeeBreakwithLetitiaParcalabescu/)

01:18:10 Rapid fire questions

Links:

AI Coffee Break Youtube Channel

Exploring Phrase Grounding without Training

Letitia discusses multi-modal machine learning, the sub-field studying models that integrate multiple kinds of information (vision, language, etc.). She also talks about the need for effective communication of AI topics to the general public and her attempt to do so in the form of the excellent YouTube channel AI Coffee Break.